Publication Date
In 2025 | 0 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 6 |
Since 2016 (last 10 years) | 7 |
Since 2006 (last 20 years) | 7 |
Descriptor
Data Analysis | 7 |
Learning Analytics | 7 |
Mathematics Tests | 3 |
Teaching Methods | 3 |
Academic Achievement | 2 |
Computer Software | 2 |
Correlation | 2 |
Data Use | 2 |
Elementary School Students | 2 |
Foreign Countries | 2 |
Grade 7 | 2 |
More ▼ |
Source
Education and Information… | 1 |
Interactive Learning… | 1 |
Journal of Educational Data… | 1 |
Journal of Learning Analytics | 1 |
Language Learning & Technology | 1 |
Science Insights Education… | 1 |
UNICEF Innocenti - Global… | 1 |
Author
Annika Rigole | 1 |
Bosch, Nigel | 1 |
Chang-Lei Gao | 1 |
Cheuk Yu Yeung | 1 |
Clarke-Midura, Jody | 1 |
Everson, Howard T. | 1 |
Jessica Bergmann | 1 |
Kam Hong Shum | 1 |
Krumm, Andrew | 1 |
Li, Xiaoyu | 1 |
Neisler, Julie | 1 |
More ▼ |
Publication Type
Journal Articles | 6 |
Reports - Research | 5 |
Reports - Descriptive | 1 |
Reports - Evaluative | 1 |
Tests/Questionnaires | 1 |
Education Level
Middle Schools | 7 |
Elementary Education | 5 |
Junior High Schools | 5 |
Secondary Education | 5 |
Intermediate Grades | 3 |
Grade 7 | 2 |
Elementary Secondary Education | 1 |
Grade 4 | 1 |
Grade 5 | 1 |
Grade 6 | 1 |
Grade 8 | 1 |
More ▼ |
Audience
Laws, Policies, & Programs
Assessments and Surveys
National Assessment of… | 1 |
What Works Clearinghouse Rating
Yu-Jie Wang; Chang-Lei Gao; Xin-Dong Ye – Education and Information Technologies, 2024
The continuous development of Educational Data Mining (EDM) and Learning Analytics (LA) technologies has provided more effective technical support for accurate early warning and interventions for student academic performance. However, the existing body of research on EDM and LA needs more empirical studies that provide feedback interventions, and…
Descriptors: Precision Teaching, Data Use, Intervention, Educational Improvement
Krumm, Andrew; Everson, Howard T.; Neisler, Julie – Journal of Learning Analytics, 2022
This paper describes a partnership-based approach for analyzing data from a learning management system (LMS) used by students in grades 6-12. The goal of the partnership was to create indicators for the ways in which students navigated digital learning activities, referred to as playlists, that were comprised of resources, pre-assessments, and…
Descriptors: Learning Management Systems, Data Analysis, Electronic Learning, Student Behavior
Kam Hong Shum; Samuel Kai Wah Chu; Cheuk Yu Yeung – Interactive Learning Environments, 2023
This study examines the use of data analytics to evaluate students' behaviours during their participation in an online collaborative learning environment called SkyApp. To visualise the learning traits of engagement, emotion and motivation, students' inputs and activity data were captured and quantified for analysis. Experiments were first carried…
Descriptors: Student Behavior, Online Courses, Cooperative Learning, Computer Software
Li, Xiaoyu; Xia, Jianping – Science Insights Education Frontiers, 2020
The rise of big data technology provides direction and support for the reform and development of education. Big data technology can realize the inventory management and effective dynamic monitoring of schools, students, and teachers. It is conducive to comprehensively and accurately controlling the development of teaching activities, injecting new…
Descriptors: Foreign Countries, Middle School Students, Data Analysis, Data Collection
Bosch, Nigel – Journal of Educational Data Mining, 2021
Automatic machine learning (AutoML) methods automate the time-consuming, feature-engineering process so that researchers produce accurate student models more quickly and easily. In this paper, we compare two AutoML feature engineering methods in the context of the National Assessment of Educational Progress (NAEP) data mining competition. The…
Descriptors: Accuracy, Learning Analytics, Models, National Competency Tests
Poole, Frederick J.; Clarke-Midura, Jody – Language Learning & Technology, 2023
Research involving digital games and language learning is rapidly growing. One advantage of using digital games to support language learning is the ability to collect data on students learning in real time. In this study, we use educational data mining methods to explore the relationship between in-game data and elementary students' Chinese…
Descriptors: Computer Games, Second Language Learning, Second Language Instruction, Data Analysis
Annika Rigole; Sonakshi Sharma; Jessica Bergmann – UNICEF Innocenti - Global Office of Research and Foresight, 2023
Recognizing that children's learning outcomes generally remain low, in its recent 2017--2021 Education and Skills Sector Plan (ESSP) the Government of Zambia prioritized improving learning outcomes through strategies that addressed gaps in education system quality, access, equity and efficiency. What resources and contextual factors are associated…
Descriptors: School Effectiveness, Outcomes of Education, Educational Strategies, Access to Education